Events

The Data Shows Government Website Accessibility and Usability Go Hand-in-Hand

The National Consortium for Data Science (NCDS), in partnership with Interpersonal Frequency, will host a free webinar, “The Data Shows Government Website Accessibility and Usability Go Hand-in-Hand,” on Wednesday, February 8 at 12 PM ET. Register Here   Digital accessibility—whether it’s billed as “Section 508 compliance,” “ADA compliance,” or “WCAG compliance”—is top-of-mind for government organizations, and rightly […]

DataBytes: Five ways that data visualizations can mislead (and how to fix them)

Visualizations allow people to readily analyze and communicate data. However, many common visualization designs lead to engaging imagery but false conclusions. By understanding what people see when they look at a visualization, we can design visualizations that support more accurate data analysis and avoid unnecessary biases. Join UNC Computer Science Assistant Professor Danielle Szafir on […]

Data Matters: Spring Ahead 2023

Registration is now open for our first-ever Data Matters spring event. Data Matters: Spring Ahead will take place online from March 13 – 16, 2023 and is aimed at students and professionals in business, research, and government. The short course series is sponsored by the Odum Institute for Research in Social Science at UNC-Chapel Hill, […]

Analyzing Data Science Careers | Spring Career Panel 2023

You don’t want to miss these data science professionals who provide insight into what it takes to capture the attention of top recruiters in data science and data analytics. Our panelists represent a variety of career stages and they are ready to discuss what it takes to set yourself apart as you launch your career search.

DataBytes: Data Ethics

The National Consortium for Data Science looks forward to hosting Anisha Nadkarni, Data Ethics Officer and Lead Data Analyst at Randstad, on April 20 for our next DataBytes event as she walks us through the practical challenges she faces in work and how she addresses these issues.

Data Matters 2023

via Zoom

Data Matters™ is a week-long series of one and two-day courses aimed at students and professionals in business, research, and government. The short course series is sponsored by the Odum Institute for Research in Social Science at UNC-Chapel Hill, the National Consortium for Data Science, and RENCI. Registration is now open for the traditional Data […]

Scaling Up: Exploring Articulation Agreements Between Two-Year and Four-Year Institutions: Wake Tech and Shaw University

Articulation agreements between two year and four year institutions aren’t crafted overnight. Join this conversation between leaders at Shaw University and Wake Tech as they walk our audience through the essential components of an articulation agreement between a two year institution and a four year institution. Topics that they will address include but are not […]

DataBytes: The Risks of Facial Recognition Technology: Dismantling the First Amendment Defense

In a lawsuit challenging its surveillance activities, Clearview AI used the First Amendment as a defense. The facial recognition technology company argued that the creation and use of its surveillance product was First Amendment protected speech. Join Talya Whyte, third-year law student at New York University, as she presents a case study on the parties’ […]

2023 NCDS Fall Career Panel Analyzing Data Science Careers

2023 NCDS Fall Career Panel Analyzing Data Science Careers - Are you career ready? You don’t want to miss these data science professionals who provide insight into what it takes to capture the attention of top recruiters in data science and data analytics. Our panelists represent a variety of career stages and they are ready […]

DataBytes: Causal AI: The Key to High-Stakes Decision Making

The National Consortium for Data Science looks forward to welcoming back Christopher Lam, CEO of Epistamai on December 5th for our next DataBytes event as he discusses Causal AI: The Key to High-Stakes Decision Making. There has been tremendous attention to the generative AI wave and its enormous potential to transform industries. But there is […]

DataBytes: Becoming A Data Detective – Holding AI Accountable

via Zoom

Bias and brittleness in artificial intelligence (Al) tools are a growing concern. Join Hilke Schellman, Emmy-award winning investigative reporter, Wall Street Journal and Guardian contributor and Journalism Professor at NYU, as she shares key takeaways from her book, The Algorithm: How Al Decides Who Gets Hired, Monitored, Promoted, and Fired and Why We Need to […]

2024 NCDS Spring Career Panel: Analyzing Data Science Careers

via Zoom

2024 NCDS Spring Career Panel Analyzing Data Science Careers – Are you career ready? You don’t want to miss these data science professionals who provide insight into what it takes to capture the attention of top recruiters in data science and data analytics. Our panelists represent a variety of career stages (a former high school […]

DataBytes: Supporting AI Risk Management in the Analytics Lifecycle

via Zoom

The National Institute of Standards and Technology (NIST) released an AI Risk Management Framework for trustworthy and responsible use of AI and analytics. NIST offers a portfolio of measurements, standards, and legal metrology to provide recommendations that ensure traceability, enable quality assurance, and harmonize documentary standards and regulatory practices. Their framework is very detailed with […]

Foundations of AI: Intro to AI with Amy Hemmeter

In this half-day course, you’ll learn about Artificial Intelligence (AI), starting with foundational concepts in machine learning and deep learning, then moving to the basics of Natural Language Processing and Computer Vision that got us to our current boom in Generative AI as demonstrated by GPT-3, DALL-E and other well-known tools. Learn how to train your own AI models, how to make the most of open-source and pre-trained models on the market, and how to stay ahead of the curve on technical improvements.

DataBytes: Using GenAI to win STTR and SBIR Government Grants

Through a competitive awards-based program, STTR and SBIR federal grants enable small businesses to explore their technological potential and open new opportunities to profit from its commercialization. However, it can be difficult for first-time applicants to get their foot in the door, between sorting through guidelines, requirements, and deadlines, and trying to locate successful examples. […]

Data Matters 2024

Data Matters™ is a week-long series of one and two-day courses aimed at students and professionals in business, research, and government. The short course series is sponsored by the Odum Institute for Research in Social Science at UNC-Chapel Hill, the National Consortium for Data Science, and RENCI. Data Matters gives students the chance to learn about a wide range of topics in data science, analytics, visualization, curation, and more from expert instructors.

DataBytes: Data Viz, Chemistry, Art, and Public Health: Making Sense of Street Drugs

At the Street Drug Analysis Lab, researchers analyze street drug samples from around the country and have detected about 300 unique chemical substances. But making sense of chemicals is a notorious challenge, with long names, esoteric molecules, and overlapping pharmacological properties. Therefore, the team created a flexible ontology that can adapt over time, and developed […]

Careers in Data Science: Measuring Social Impact at the Kennedy Center

From liberal arts major to major impact: What do Musical Theater, Psychology, History, and Business Administration all have in common? These fields can all provide you with successful tools and experiences that can lead to valuable careers incorporating data science. In this session, Trés McMichael, Senior Program Manager for Social Impact Civic Alliances at the Kennedy Center in Washington, D.C., will discuss his pathways from a liberal arts education to a non-profit professional who has incorporated research, evaluation, and data visualization as a tool to support arts, culture, and community change.

Scaling Up: Developing a Coordinating Hub for Data Competency

In this session, Dr. Crista Arangala will introduce Elon University’s Data Nexus. The Data Nexus initiative was created as part of a five-year Quality Enhancement Plan developed during its most recent accreditation process and serves as a coordinating hub for data competency initiatives at the university throughout the plan and beyond. In its first year, […]

Foundations of AI: AI for Non-Coders

Ever say to yourself: what even is an LLM? How do I get from chatting with ChatGPT to talking about larger AI products? How do I answer these nonstop questions from colleagues, customers, leadership and more in this new landscape?

Do you find yourself needing expertise on AI that, quite frankly, you didn’t sign up for?

This course is designed to meet the needs of people who are not necessarily well versed in math and science but who know that they need to know the basics about AI in this changing landscape.

2024 NCDS Fall Career Panel: Analyzing Data Science Careers

You don't want to miss these data science professionals provide insight into what it takes to capture the attention of top recruiters in data science and data analytics. Our panelists represent a variety of career stages and they are ready to discuss what it takes to set yourself apart as you launch your career search. […]

DataBytes: Navigating the Data Divide: Approaching Analytics Across Organizational Maturity Levels

Organizations at varying levels of analytical maturity are increasingly seeking to optimize their data usage. This presentation, delivered by two experienced data scientists, will discuss how analytics can vary across different environments. The speakers will draw on their work with clients across the analytical maturity spectrum, highlighting their efforts to enhance analytically established organizations and […]

DataBytes: Intro to NLP, LLMs and more – a Taste of Foundations of AI

In this short session you’ll learn the basics of Natural Language Processing, starting with turning words and sentences into embeddings for use in deep learning tasks, as well as an intro to language models, large and otherwise. You’ll learn some hands-on tips and tricks for making sense of language data, and get a technical but […]